Sentence examples for models of sentence from inspiring English sources

Let us write for the set of models of sentence φ.

As potential candidates for explaining human cognition, connectionist models of sentence processing must demonstrate their ability to behave systematically, generalizing from a small training set.

In this article we take 'symbolic models of sentence processing' to mean approaches in which processing is characterized in terms of relatively discrete, combinatorial representations.

A more details study can be found in Michael A. Covington: 1984, Syntactic Theory in the High Middle Ages: Modistic Models of Sentence Structure, Cambridge University Press, London-New York.

The current research attempts to reconcile these data with several current neurophysiologically based models of sentence processing, through the specification of a neural network model whose architecture is constrained by the known cortico-striato-thalamo-cortical (CSTC) neuroanatomy of the human language system.

Similarly, instructors who adopt audio-lingual methods to teach a second language tend to demonstrate correct models of sentences first, and students then repeat the accurate pronunciation and intonation of the target language verbally in order to memorize these (Felder & Henriques 1995; Wang 2009).

In this article we present a neural network model of sentence generation.

To address these issues, a connectionist model of sentence production was developed.

See Aizawa (1997b) for critical discussion of Hadley & Hayward's (1997) model of sentence processing.

Constituent comparisons of propositional representations were hypothesized in the mental model of sentence processing.

Exploiting the similarity of constraint satisfaction and DNA self-assembly, we explore a DNA assembly model of sentence generation.